Interactive Plots with Plotly

Introduction

This presentation features interactive plots created with Plotly.

1. Heatmap - Daily Ozone Levels in New York (May to September 1973)

library(datasets)
library(plotly)

## Warning: package 'plotly' was built under R version 4.4.2

## Warning: package 'ggplot2' was built under R version 4.4.2

library(reshape2)

## Warning: package 'reshape2' was built under R version 4.4.2

# Load and prepare the dataset
data("airquality")
airquality$Month = as.factor(airquality$Month)
ozone_daily = airquality[, c(1, 5, 6)]
ozone_daily = dcast(ozone_daily, Day ~ Month, value.var = "Ozone")
ozone_daily = as.matrix(ozone_daily[,-1])
colnames(ozone_daily) = c("May", "June", "July", "August", "September")

# Create Heatmap
plot_ly(
  z = ozone_daily, 
  colorscale = "Hot", 
  x = colnames(ozone_daily), 
  type = "heatmap",
  colorbar = list(title = "Ozone Levels (ppb)")
) %>% layout(
  title = "Daily Ozone Levels in New York, May to September 1973", 
  xaxis = list(title = "Month"), 
  yaxis = list(title = "Day")
)

library(datasets)
library(plotly)

# Load and plot the dataset
data("uspop")
plot_ly(
  x = ~time(uspop), 
  y = ~uspop, 
  type = "scatter", 
  mode = "lines"
) %>% layout(
  title = "U.S. Population (1790-1970)", 
  xaxis = list(title = "Year"), 
  yaxis = list(title = "U.S. Population (millions)")
)